Evaluating the impact of the innovation efficiency of high-tech industry on carbon emissions : a case study of the manufacturing industry in China

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..

Amid China's economic shift to high-quality development, addressing environmental challenges like greenhouse gas emissions and manufacturing pollution, there is a crucial demand for sustainable and eco-friendly development strategies. This study aims to investigate the impact of innovation efficiency in the high-tech industry on carbon emissions. It seeks to explore regional differences, mechanisms, and the influence of energy consumption structures in achieving sustainable development goals. Utilizing data from 30 provinces spanning 2009 to 2020, the study employs the DEA-Malmquist index model, spatial and temporal classification evaluation, and a panel measurement model to assess the efficiency of innovation and development in high-tech industries and their relationship with carbon emissions. The results indicate several key findings: (1) The overall operational efficiency of high-tech industry innovation and development in China is steadily increasing. However, there are distinct characteristics observed among provinces and cities, reflecting diverse input and output types. (2) High-tech industry innovation efficiency significantly contributes to carbon emission reduction, and there is regional heterogeneity in this impact. The central and western regions exhibit greater effects compared to other provinces and cities. (3) The optimization of the energy structure is identified as a mechanism through which high-tech industry innovation efficiency reduces carbon emissions. Moreover, different intervals of high-tech industry innovation efficiency yield varying effects on carbon emissions. This research underscores the importance of fostering high-tech industry innovation efficiency as a means to reduce carbon emissions. It also identifies key areas for future policy development and resource allocation, emphasizing the support needed for low-carbon technology research and development.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:31

Enthalten in:

Environmental science and pollution research international - 31(2024), 13 vom: 16. März, Seite 20188-20206

Sprache:

Englisch

Beteiligte Personen:

Wang, Jian [VerfasserIn]
Song, Zhihui [VerfasserIn]
Siddiqui, Faiza [VerfasserIn]
Gui, Na [VerfasserIn]
Zha, Qifen [VerfasserIn]

Links:

Volltext

Themen:

142M471B3J
7440-44-0
Carbon
Carbon Dioxide
Carbon emission
China
Efficiency evaluation
High-tech industry innovation
Journal Article
Panel model

Anmerkungen:

Date Completed 13.03.2024

Date Revised 13.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s11356-024-32484-x

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368629910